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Trade

buy - XLM

Status
loss
2025-04-01 10:14:24
5 minutes
PNL
-0.52
Entry: 0.2701
Last: 0.26870000

Results

Status:
loss
Trade Type:
buy
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -90
ML Pullback Score: 8.46

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.000969707
Details
  1. score: 2.08
  2. long_trend_details
  3. ema9 - 0.270872
  4. ema21 - 0.26844
  5. ema50 - 0.267304
  6. ema9_ema21_diff - 0.90617
  7. ema21_ema50_diff - 0.425051
  8. ema9_ema50_diff - 1.33507
  9. price_ema21_diff - 0.629466
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Long Trade on XLM

The 01 Apr 2025 at 10:14:24

With 5499.9431 XLM at 0.2701$ per unit.

Position size of 1485.6996 $

Take profit at 0.2723 (0.81 %) and Stop Loss at 0.2687 (0.52 %)

That's a 1.57 RR Trade

📌 Similar Trades

Similar Trade Score: -28.13 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-07-06 14:46:39 0.9728 -20 2
PEPE 2025-07-06 14:41:37 0.9735 30 1
MOCA 2025-06-24 02:32:56 0.9702 -100 2
CRV 2025-04-22 15:42:11 0.9706 -100 1
1000000MOG 2025-07-06 14:56:03 0.9692 30 1
TRUMP 2025-04-22 15:38:56 0.9675 5 2
PYTH 2025-05-09 15:12:20 0.9679 30 1
PI 2025-05-12 08:29:26 0.967 -100 1

📌 Time Data

Start at Closed at Duration
01 Apr 2025
10:14:24		 01 Apr 2025
10:20:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2701 0.2687 0.2723 1.57 0.4415
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.2701
  • Stop Loss: 0.2687
  • Take Profit: 0.2723

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2687 - 0.2701 = -0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2701 - 0.2723 = -0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0022 / -0.0014 = 1.5714

📌 Position Size

Amount Margin Quantity Leverage
1485.6996 1485.6996 5499.9431 14.86
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.0014

Taille de position = 8 / -0.0014 = -5714.29

Taille de position USD = -5714.29 x 0.2701 = -1543.43

Donc, tu peux acheter -5714.29 avec un stoploss a 0.2687

Avec un position size USD de -1543.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5714.29 x -0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5714.29 x -0.0022 = 12.57

Si Take Profit atteint, tu gagneras 12.57$

Résumé

  • Taille de position -5714.29
  • Taille de position USD -1543.43
  • Perte potentielle 8
  • Gain potentiel 12.57
  • Risk-Reward Ratio 1.5714

📌 Peformances

TP % Target TP $ Target
0.81 % 12.1 $
SL % Target SL $ Target
0.52 % 7.7 $
PNL PNL %
-7.7 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.68122917437986 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2723
            [entry_price] => 0.2701
            [stop_loss] => 0.26856
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-01 10:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2723
            [entry_price] => 0.2701
            [stop_loss] => 0.26842
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-01 10:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2723
            [entry_price] => 0.2701
            [stop_loss] => 0.26828
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-01 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2723
            [entry_price] => 0.2701
            [stop_loss] => 0.268
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-01 10:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00801
            [max_drawdown] => 0.00184
            [rr_ratio] => 4.35
            [high] => 0.27811000
            [low] => 0.26826000
            [mfe_pct] => 2.97
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 4.35
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T10:14:24-04:00
            [end_at] => 2025-04-01T12:14:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00913
            [max_drawdown] => 0.00184
            [rr_ratio] => 4.96
            [high] => 0.27923000
            [low] => 0.26826000
            [mfe_pct] => 3.38
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 4.96
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T10:14:24-04:00
            [end_at] => 2025-04-01T16:14:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27450000
            [high_after] => 0.27923000
            [low_before] => 0.26906000
            [low_after] => 0.26826000
            [is_new_high] => 1
            [is_new_low] => 
        )

)